terclim by ICS banner
IVES 9 IVES Conference Series 9 REVEALING THE ORIGIN OF BORDEAUX WINES WITH RAW 1D-CHROMATOGRAMS

REVEALING THE ORIGIN OF BORDEAUX WINES WITH RAW 1D-CHROMATOGRAMS

Abstract

Understanding the composition of wine and how it is influenced by climate or wine-making practices is a challenging issue. Two approaches are typically used to explore this issue. The first approach uses che-mical fingerprints, which require advanced tools such as high-resolution mass spectrometry and mul-tidimensional chromatography. The second approach is the targeted method, which relies on the widely available 1-D GC/MS, but involves integrating the areas under a few peaks which ends up using only a small fraction of the chromatogram.

Here, we employ state-of-the-art machine learning methods to optimize the analysis of 1-D GC/MS chromatograms. Specifically, we aim to determine whether these chromatograms contain valuable in-formation beyond the manually extracted peaks typically utilized in the targeted approach.

To explore those questions, we analyzed 4 different types of 1-D raw chromatograms (3 SIM and 1 full-scan) of 80 wines (12 vintages from 7 estates of the Bordeaux area. We first applied nonlinear dimensio-nality reduction techniques (T-SNE and UMAP) to the chromatograms to obtain 2D maps. In the resul-ting maps, wines of the same estates across multiple vintages tended to form clear clusters, whose spatial distribution reflected the geography of the Bordeaux wine region. This indicated that, for this particular set of wine, the raw chromatograms are highly informative about terroir and wine identity.

Next, we applied cross-validated classifiers to the raw chromatograms and found that we could recover perfectly well estates identity independent of vintage. By contrast, performance on vintage classifica-tion was much lower with a maximum performance of 50% correct.

Crucially, we found that the entire chromatogram is informative with respect to both of these variables. Thus, the extraction of specific peaks of the chromatogram to quantify the concentration of 32 known chemical compounds–discarding the rest of the chromatograms–led to worse classification perfor-mance, suggesting that estate identity is distributed over a large chemical spectrum, including many molecules that have yet to be identified.

In addition, the GC raw data can be used to predict the ratings of a professional wine critic (Robert Par-ker) above chance, thus suggesting that GC might also contain information about the organoleptic pro-perties of wine.

Overall, this study demonstrates the strong potential of raw chromatogram analysis for wine characte-rization and identification.

DOI:

Publication date: February 9, 2024

Issue: OENO Macrowine 2023

Type: Article

Authors

Michael Schartner¹, Jeff M. Beck², Justine Laboyrie³, Laurent Riquier³, Stephanie Marchand3*, Alexandre Pouget4*

1. Center for the Unknown. Champalimaud Institute. Lisbon. Portugal. 
2. Duke university. USA
3. Université de Bordeaux, ISVV, INRAE, UMR 1366 OENOLOGIE, 33140 Villenave d’Ornon, France
4. Département des neurosciences fondamentales. Université de Genève. Suisse. 

Contact the author*

Keywords

Machine learning, Wine composition, Sensorial classification, Terroir

Tags

IVES Conference Series | oeno macrowine 2023 | oeno-macrowine

Citation

Related articles…

MAPPING OF GAS-PHASE CO₂ IN THE HEADSPACE OF CHAMPAGNE GLASSES BY USING AN INFRARED LASER SENSOR UNDER STATIC TASTING CONDITIONS

From the chemical angle, Champagne wines are complex hydro-alcoholic mixtures supersaturated with dissolved carbon dioxide (CO₂). During the pouring process and throughout the several minutes of tasting, the headspace of a champagne glass is progressively invaded by many chemical species, including gas-phase CO₂ in large majority. CO₂ bubbles nucleated in the glass and collapsing at the champagne surface act indeed as a continuous paternoster lift for aromas throughout champagne or sparkling wine tasting [1]. Nevertheless, inhaling a gas space with a concentration of gaseous CO₂ close to 30% and higher triggers a very unpleasant tingling sensation, the so-called “carbonic bite”, which might completely perturb the perception of the wine’s bouquet.

FERMENTATION POTENTIAL OF INDIGENOUS NON-SACCHAROMYCES YEASTS ISOLATED FROM MARAŠTINA GRAPES OF CROATIAN VINEYARDS

The interest in indigenous non-Saccharomyces yeast for use in wine production has increased in recent years because they contribute to the complex character of the wine. The aim of this work was to investigate the fermentation products of ten indigenous strains selected from a collection of native yeasts established at the Institute for Adriatic Crops and Karst Reclamation in 2021, previously isolated from Croatian Maraština grapes, belonging to Hypopichia pseudoburtonii, Metschnikowia pulcherrima, Metschnikowia sinensis, Metschnikowia chrysoperlae, Lachancea thermotolerans, Pichia kluyveri, Hanseniaspora uvarum, Hanseniaspora guillermondii, Hanseniaspora pseudoguillermondii, and Starmerella apicola species, and compare it with commercial non-Saccharomyces and Saccharomyces strains.

THE EFFECT OF DIFFERENT TERROIRS ON AROMA COMPOUNDS OF ‘KALECIK KARASI’ WINES

Kalecik Karası is a domestic grape variety of Turkey, originating from Kalecik district, 80 km from Ankara. Although there is no definite evidence, it is known that it was used in wine production by many civilizations that lived in the Anatolian region, especially the Hittites. Compared to other black wine grapes, it stands out with its low tannin content, rich fruity aroma and complex structure. In good vintages, red fruits such as strawberries, cherries and raspberries stand out in the aroma profile. Although its structure is elegant, it has the potential to age and develop similar to the ‘Pinot Noir’ wine of the Burgundy region. This offers a complex aroma structure including red flowers, earth and ripe fruits.

YEAST-PRODUCED VOLATILES IN GRAPE BASED SYSTEM MODEL ACTING AS ANTIFUNGAL BIOAGENTS AGAINST PHYTOPATHOGEN BOTRYTIS CINEREA

Botrytis cinerea Pers., the causal agent of grey mould disease, is responsible for substantial economic losses, as it causes reduction of grape and wine quality and quantity. Exploitation of antagonistic yeasts is a promising strategy for controlling grey mould incidence and limiting the usage of synthetic fungicides. In our previous studies, 119 different indigenous yeasts were screened for putative multidimensional modes of action against filamentous fungus B. cinerea [1]. The most promissing biocontrol yeast was Pichia guilliermondii ZIM624, which exhibited several anatagonistic traits (production of cell wall degrading enzymes, chitinase and β-1,3-glucanase; demonstration of in vitro inhibitory effect on B. cinerea mycelia radial growth; production of antifungal volatiles, assimilation of a broad diversity of carbon sources, contributing to its competitivnes in inhabiting grapes in nature).

OPTIMIZATION, VALIDATION AND APPLICATION OF THE EPR SPIN-TRAPPING TECHNIQUE TO THE DETECTION OF FREE RADICALS IN CHARDONNAY WINES

The aging potential of Burgundy chardonnay wines is considered as quality indicator. However, some of them exhibit higher oxidative sensitivity and premature oxidative aging symptoms, which are potentially induced by no-enzymatic oxidation such as Fenton-type reaction (Danilewicz, 2003). This chemical mechanism involves the action of transition metal, native phenolic compounds and oxygen which promote the generation of highly reactive oxygen species (ROS) such as hydroxyl radicals (OH) or 1-hydroxyethyl radicals (1-HER) from oxidation of ethanol. Such mechanism is involved in the radical oxidation occurring during bottle aging. According to Elias et al.,(2009a), the 1-HER is the most abundant radical in forced oxidation treated wines. Consequently, understanding its evolution kinetic in dry white wines is of great importance.